[Comp-neuro] Job advert / 3 year post-doc LMU Munich computational social neuroscience

Deroy, Ophelia Ophelia.Deroy at lrz.uni-muenchen.de
Fri Jan 25 19:57:46 CET 2019





We are looking for One Post-Doctoral Research Fellow in Computational 
Social Neuroscience for 3 Years, to be based at the LMU, Munich.

The expected starting date is between April 1st, 2019 and July 1st, 2019
Deadline for applications is February 15th, 2019

This post-doctoral fellowship will investigate how the diversity of 
social information affects attitudes and decisions, both for individuals 
and groups. This post is part of a broader project supported by the 
NOMIS foundation to apply quantitative methods (behavioural, 
computational and neuroimaging) to examine - under controlled and 
ecologically-valid settings - fundamental issues on the impact of 
diversity and volatility of information on social influence.

The project is hosted by the Munich Centre for Neuroscience, and will be 
supervised Professor Ophelia Deroy and Dr. Bahador Bahrami. 
International collaborations (with Gatsby Computational Neuroscience 
Unit, University College London as well as Centre for Adaptive 
Rationality in Max Planck Institute for Human development in Berlin) are 
integral to the project and the current position.

Job Description:
The appointee will be expected to

- develop research ideas and plan and implement experiments (ethics, 
design, programming);
- conduct experiments and collect data from adult human subjects;
- perform statistical analysis (with particular focus on using 
computational modelling to - prepare reports and articles for 
publication;
- participate in regular meetings and contribute to the research 
environment;
- supervise research assistants
- work as part of a team.

Requirements:
The successful candidate will have a PhD level
- a strong background in quantitative methods (statistics, physics, 
machine learning, computational neuroscience)
- interest in interdisciplinary projects and
- a PhD in computer sciences (machine learning), physics (eg complex 
systems), psychology (cognitive or social), or neuroscience 
(behavioural, systems).

Knowledge of experimental design, statistics and data analysis is 
expected.
Strong command of linear algebra, probability theory, computer 
programming (web-based platforms (e.g. Java), R, Python, Matlab) is 
highly desirable.

The position is for three years, with an intermediate evaluation for 
satisfactory performance after 1 year. The appointment will be made 
within the German TV-L E 14 salary scheme (family benefits apply).

Applications should include a CV (including full list of publications 
and skills), cover letter and the contact details of three referees.

Address for preliminary information  and applications:  
bahador.bahrami at lmu.de


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